Data Scientist
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where Health for all, Hunger for none is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’.
We’re hiring a Senior Data Scientist for the Machine Learning & Artificial Intelligence unit within Bayer's Enterprise Data & Analytics Platform. you will extract data from source systems, wrangle messy real-world data, build statistical and ML forecast models, engineer production pipelines, evaluate results, present insights to business stakeholders, develop interactive applications, and maintain the entire infrastructure.
You’ll tackle unstructured problems independently and deliver measurable impact across Finance, Supply Chain, HR, Procurement, and Commercial Operations.
We work with time series forecasting, statistical modeling, data engineering,



and interactive analytics on a modern cloud-native stack. Own the complete lifecycle from understanding business needs through production deployment, monitoring, and maintenance
Build robust ETL/ELT pipelines on Databricks; clean, validate, and transform messy real-world data at scale
Transform loosely defined business questions into structured solutions independently—identifying data gaps, proposing approaches, and iterating based on feedback
Design and deploy production-grade forecasting solutions using statistical models (ARIMA, ETS, BSTS) and ML approaches (XGBoost, LightGBM, neural networks)
Implement forecast reconciliation and hierarchical aggregation for complex business structures
Establish rigorous evaluation frameworks: backtesting, time series cross-validation, accuracy metrics, prediction intervals, and drift monitoring
Software Engineering & Infrastructure
Write production-grade Python and R code with modular arch

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